Floods and cause-specific mortality in the United States applying a triply robust approach

IF 14.7 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Nature Communications Pub Date : 2025-03-23 DOI:10.1038/s41467-025-58236-0
Lingzhi Chu, Joshua L. Warren, Erica S. Spatz, Sarah Lowe, Yuan Lu, Xiaomei Ma, Joseph S. Ross, Harlan M. Krumholz, Kai Chen
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Abstract

The health impact of floods has not been well characterized. This study evaluated long-term associations between cause-specific mortality rates and county-level monthly flood days (excluding coastal floods caused by tropical storms) in the post-flood year in the contiguous U.S., using a triply robust approach incorporating propensity score, counterfactual estimation, and confounder adjustment. Death records came from the CDC National Center for Health Statistics (2001-2020) and floods came from the NOAA Storm Events Database (2000-2020). We found that one flood day was associated with 8.3 (95% CI: 2.5 to 14.1) excess all-cause deaths per 10 million individuals, 3.1 due to myocardial infarction, 2.4 due to respiratory diseases, and 5.9 due to external causes. From 2001 to 2020, 22,376 (95% CI: 6,758 to 37,993) all-cause deaths were attributable to floods. Our findings highlight the long-term health risks after floods, and a need for measures to reduce these risks.

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Nature Communications
Nature Communications Biological Science Disciplines-
CiteScore
24.90
自引率
2.40%
发文量
6928
审稿时长
3.7 months
期刊介绍: Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.
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